Periodic Reporting for period 1 - VICI-DISEASE (PROTECTION FROM VIRUSES WITH EPIDEMIC AND PANDEMIC DISEASE OUTBREAK POTENTIAL THROUGH DEVELOPMENT AND CLINICAL TESTING OF A NOVEL CAPSID VIRUS LIKE PARTICLE (CVLP) VACCINE)
Periodo di rendicontazione: 2023-12-01 al 2025-05-31
The VICI-DISEASE consortium has the objective to develop and perform a clinical proof-of-concept study for a novel NiV vaccine (G protein displayed on cVLP), which is:
• highly effective (>90% protection),
• long-term protection (>2 years),
• rapidly acting (within 2 weeks),
• utilising cVLP technology which is the only clinically proven vaccine platform capable of generating high-level neutralizing antibody responses without the need for adjuvant,
• by adapting template processes established for our COVID-19 vaccine (currently in Phase 3),
• and tested within 48 months in a Phase 1/2a clinical study,
• to help protect medical workers and the public from future NiV and Hendra virus (HeV) outbreaks,
• and establish a pipeline of novel filovirus vaccines through pre-clinical proof-of-concept studies.
Recombinant expression in S2 cells yielded high levels of non-aggregated antigens that retained correct conformation, as confirmed by binding to conformation-sensitive monoclonal antibodies. These antigens could be efficiently coupled at high density to the AP205 cVLP, forming stable antigen:cVLP complexes. Selected lead candidates were subsequently evaluated for immunogenicity in mice, where they induced strong ELISA-binding and virus-neutralizing antibody responses.
In parallel, a genetic vaccine platform was used to identify antigen candidates suitable for either protein- or mRNA-based vaccine development. This approach supported the selection of the protein vaccine lead and served as a mitigation strategy by enabling identification of promising mRNA vaccine candidates. Antigens were initially screened for expression in HEK cells and evaluated for their ability to form secreted antigen:cVLP complexes. Promising designs were evaluated for immunogenicity in mice. The mRNA vaccines induced strong antigen-specific ELISA-binding titers as well as high virus-neutralizing responses.
Direct comparison of selected constructs delivered as mRNA or protein-based cVLP vaccines demonstrated that both vaccine platforms succeeded in inducing robust ELISA antibody titers, comparable to those measured in mice vaccinated with a control NiV vaccine, similarly to mice surviving a lethal dose of NiV challenge. These antibody levels also correlated with potent neutralization of Nipah virus, surpassing titers observed in convalescent human sera (WHO standard) and benchmark vaccine candidates.
Furthermore, cellular immune responses were evaluated by measuring antigen-specific CD8⁺ T cell responses in the spleens of immunized mice. Here, only the mRNA-based vaccines elicited robust CD8⁺ T cell responses, which were not observed following immunization with protein-based cVLP vaccines.
- Our current G-head vaccines demonstrate in vitro neutralization 13-fold higher than the human WHO standard in mice for the mRNA vaccine and 9-fold for the protein vaccine. Thus, our vaccines are inducing stronger antibody responses compared to human surviving a NiV infection (WHO standard).
- Discovery of dual display on the VLP: new antigen designs have been explored, where 2 antigens can be closely presented by having a double display (same protein for homo-display or 2 different proteins for hetero-display). This high-density presentation of antigens may improve the induction of cross-reactive immune responses against various henipaviruses by directing the immune response toward conserved epitopes. Although this design is extremely relevant for NiV vaccine development, this method could also be utilized in the context of many other vaccines that require the generation of broadly reactive antibodies.
- New protein designs for vaccines from Leipzig's partners (ULEI): ULEI has produced new NiV antigen designs that are currently explored within this consortium. ULEI uses a vaccine design pipeline that uses artificial intelligence (AI) to introduce stabilizing mutations. More specifically, an interface with the bioinformatic software suite Rosetta with AI technologies, that was recently developed at ULEI (Ertelt et al. Science Advances), is used to sample mutations from different strategies, such as evolution-derived, symmetry aware, from graph neural networks, or large language models. By using these methods, new stabilized proteins have been established, which would be particularly useful for the NiV fusion protein (F protein) which is inherently hard to produce, but might be required for long-lasting and broad protection. These methods can be further applied for any protein used in vaccine designs, beyond this consortium.